The interaction of control systems in a binary distillation column
โ Scribed by E.J. Davison
- Publisher
- Elsevier Science
- Year
- 1970
- Tongue
- English
- Weight
- 1017 KB
- Volume
- 6
- Category
- Article
- ISSN
- 0005-1098
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โฆ Synopsis
Conditions are found for severe interaction to exist in a binary distillation column between the temperature, or composition and pressure control loops and between the top and bottom temperature, or composition, control loops of the column.
Sunmnu~--Conditions are found in this paper for interaction to exist between the pressure and temperature, or composition control loops and between the top temperature and bottom temperature, or the top composition and bottom composition, control loops of a binary distillation column. A numerical example of a simulated distillation column is included.
๐ SIMILAR VOLUMES
Terminal composition control of a pilot scale binary distillation column operated under the control of an IBM 1800 digital computer has been studied for disturbances in feed flow rate. Conventional two point control, whereby the overhead composition is controlled by reflux flow rate and bottom compo
An application of nonlinear feedback theory to the control of a binary distillation column is presented. The nonlinear control structure proposed allows the output of the process to be decoupled from external disturbances while it follows, asymptotically, a given trajectory. The internal stability o
SmnmarymIn general, multivariable control systems are too complex for even a qualitative description of their behaviour. However, for linear two-variable control systems with two control lOOps, the situation is more favourable. In this article, the influence of one loop on the other is deduced from
Sin-mary--The theory developed in part I is applied to the following two-variable control systems for distillation columns: (a) pressure control by condenser cooling, and temperature control by reboiler heating; (b) overhead quality control by reflux, and bottom quality control by reboiler heating.
The challenging problem of identification and control of an industrial binary distillation column is addressed in this paper. Process identification represents an alternative to modeling and is shown to be the appropriate procedure for predictive control design. The predictive controllers based on t